config.json

{
  "_name_or_path": "q3fer/fallacy_classifier_01",
  "activation": "gelu",
  "architectures": [
    "DistilBertForSequenceClassification"
  ],
  "attention_dropout": 0.1,
  "dim": 768,
  "dropout": 0.1,
  "hidden_dim": 3072,
  "id2label": {
    "0": "ad hominem",
    "1": "ad populum",
    "2": "appeal to emotion",
    "3": "circular reasoning",
    "4": "equivocation",
    "5": "fallacy of credibility",
    "6": "fallacy of extension",
    "7": "fallacy of logic",
    "8": "fallacy of relevance",
    "9": "false causality",
    "10": "false dilemma",
    "11": "faulty generalization",
    "12": "intentional",
    "13": "miscellaneous"
  },
  "initializer_range": 0.02,
  "label2id": {
    "ad hominem": 0,
    "ad populum": 1,
    "appeal to emotion": 2,
    "circular reasoning": 3,
    "equivocation": 4,
    "fallacy of credibility": 5,
    "fallacy of extension": 6,
    "fallacy of logic": 7,
    "fallacy of relevance": 8,
    "false causality": 9,
    "false dilemma": 10,
    "faulty generalization": 11,
    "intentional": 12,
    "miscellaneous": 13
  },
  "max_position_embeddings": 512,
  "model_type": "distilbert",
  "n_heads": 12,
  "n_layers": 6,
  "pad_token_id": 0,
  "qa_dropout": 0.1,
  "seq_classif_dropout": 0.2,
  "sinusoidal_pos_embds": false,
  "tie_weights_": true,
  "torch_dtype": "float32",
  "transformers_version": "4.25.1",
  "vocab_size": 30522
}